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grimjim_-_llama-3-experiment-v1-9B-gguf
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Quantization made by Richard Erkhov.

[Github](https://github.com/RichardErkhov)

[Discord](https://discord.gg/pvy7H8DZMG)

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llama-3-experiment-v1-9B - GGUF
- Model creator: https://huggingface.co/grimjim/
- Original model: https://huggingface.co/grimjim/llama-3-experiment-v1-9B/


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [llama-3-experiment-v1-9B.Q2_K.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q2_K.gguf) | Q2_K | 3.26GB |
| [llama-3-experiment-v1-9B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.IQ3_XS.gguf) | IQ3_XS | 3.61GB |
| [llama-3-experiment-v1-9B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.IQ3_S.gguf) | IQ3_S | 3.78GB |
| [llama-3-experiment-v1-9B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q3_K_S.gguf) | Q3_K_S | 3.76GB |
| [llama-3-experiment-v1-9B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.IQ3_M.gguf) | IQ3_M | 3.88GB |
| [llama-3-experiment-v1-9B.Q3_K.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q3_K.gguf) | Q3_K | 4.13GB |
| [llama-3-experiment-v1-9B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q3_K_M.gguf) | Q3_K_M | 4.13GB |
| [llama-3-experiment-v1-9B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q3_K_L.gguf) | Q3_K_L | 4.45GB |
| [llama-3-experiment-v1-9B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.IQ4_XS.gguf) | IQ4_XS | 4.61GB |
| [llama-3-experiment-v1-9B.Q4_0.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q4_0.gguf) | Q4_0 | 4.8GB |
| [llama-3-experiment-v1-9B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.IQ4_NL.gguf) | IQ4_NL | 4.84GB |
| [llama-3-experiment-v1-9B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q4_K_S.gguf) | Q4_K_S | 4.83GB |
| [llama-3-experiment-v1-9B.Q4_K.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q4_K.gguf) | Q4_K | 5.07GB |
| [llama-3-experiment-v1-9B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q4_K_M.gguf) | Q4_K_M | 5.07GB |
| [llama-3-experiment-v1-9B.Q4_1.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q4_1.gguf) | Q4_1 | 5.29GB |
| [llama-3-experiment-v1-9B.Q5_0.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q5_0.gguf) | Q5_0 | 5.77GB |
| [llama-3-experiment-v1-9B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q5_K_S.gguf) | Q5_K_S | 5.77GB |
| [llama-3-experiment-v1-9B.Q5_K.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q5_K.gguf) | Q5_K | 5.91GB |
| [llama-3-experiment-v1-9B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q5_K_M.gguf) | Q5_K_M | 5.91GB |
| [llama-3-experiment-v1-9B.Q5_1.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q5_1.gguf) | Q5_1 | 6.26GB |
| [llama-3-experiment-v1-9B.Q6_K.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q6_K.gguf) | Q6_K | 6.81GB |
| [llama-3-experiment-v1-9B.Q8_0.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q8_0.gguf) | Q8_0 | 8.82GB |




Original model description:
---
language:
- en
base_model:
- meta-llama/Meta-Llama-3-8B-Instruct
library_name: transformers
tags:
- meta
- llama-3
- pytorch
- mergekit
- merge
license: llama3
license_link: LICENSE
pipeline_tag: text-generation
widget:
  - example_title: Hello
    messages:
    - role: user
      content: Hey my name is Corwin! How are you?
  - example_title: Hellriding out of Amber
    messages:
    - role: system
      content: You are a helpful and honest assistant. Please, respond concisely and truthfully.
    - role: user
      content: Can you recommend a good destination for a hellride out of Amber?
inference:
  parameters:
    max_new_tokens: 300
    stop:
    - <|end_of_text|>
    - <|eot_id|>
model-index:
- name: grimjim/grimjim/llama-3-experiment-v1-9B
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 66.41
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=grimjim/grimjim/llama-3-experiment-v1-9B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 78.56
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=grimjim/llama-3-experiment-v1-9B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 66.71
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=grimjim/llama-3-experiment-v1-9B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 50.7
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=grimjim/llama-3-experiment-v1-9B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 75.93
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=grimjim/llama-3-experiment-v1-9B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 65.88
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=grimjim/llama-3-experiment-v1-9B
      name: Open LLM Leaderboard
---
# llama-3-experiment-v1-9B

This is an experimental merge, replicating additional layers to the model without post-merge healing.
There is damage to the model, but it appears to be tolerable as is; the performance difference in benchmarks from the original 8B Instruct model does not appear to be significant.
The resulting impact on narrative text completion may also be of interest.

Light testing performed with instruct prompting and the following sampler settings:
- temp=1 and minP=0.02
- temp=1 and smoothing factor=0.33

Full weights: [grimjim/llama-3-experiment-v1-9B](https://huggingface.co/grimjim/llama-3-experiment-v1-9B)

GGUF quants: [grimjim/llama-3-experiment-v1-9B-GGUF](https://huggingface.co/grimjim/llama-3-experiment-v1-9B-GGUF)

This is a merge of pre-trained language model meta-llama/Meta-Llama-3-8B-Instruct created using [mergekit](https://github.com/cg123/mergekit).

Built with Meta Llama 3.

## Merge Details
### Merge Method

This model was merged using the passthrough merge method.

### Models Merged

The following models were included in the merge:
* meta-llama/Meta-Llama-3-8B-Instruct

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
    - model: meta-llama/Meta-Llama-3-8B-Instruct
      layer_range: [0, 12]
  - sources:
    - model: meta-llama/Meta-Llama-3-8B-Instruct
      layer_range: [8, 32]
merge_method: passthrough
dtype: bfloat16

```